AI Ethics Issues in Real World: Evidence from AI Incident Database
AI Ethics Issues in Real World: Evidence from AI Incident Database
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现实世界中的人工智能道德问题：来自人工智能事件数据库的证据
DOI：
10.48550/arxiv.2206.07635
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Zhixuan Zhou
中科院分区：
文献类型：
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作者：
Mengyi Wei;Zhixuan Zhou
人工智能（AI）的强大性能也带来了普遍的伦理问题。尽管政府和企业制定了多项人工智能道德准则来遏制人工智能的不道德行为，但效果有限，可能是由于准则的模糊性。在本文中，我们更深入地研究人工智能伦理问题在现实世界中是如何发生的，以便对不同的伦理问题及其社会影响有更深入和细致的了解。通过对人工智能事件数据库的内容分析，我们确定了 13 个经常出现不道德使用人工智能的应用领域，其中智能服务机器人、语言/视觉模型和自动驾驶处于领先地位。道德问题以 8 种不同的形式出现，从不当使用和种族歧视，到人身安全和不公平的算法。通过对人工智能道德问题的分类，我们的目标是为人工智能从业者在尝试以道德方式部署人工智能应用程序时提供实用指南。
With the powerful performance of Artificial Intelligence (AI) also comes prevalent ethical issues. Though governments and corporations have curated multiple AI ethics guidelines to curb unethical behavior of AI, the effect has been limited, probably due to the vagueness of the guidelines. In this paper, we take a closer look at how AI ethics issues take place in real world, in order to have a more in-depth and nuanced understanding of different ethical issues as well as their social impact. With a content analysis of AI Incident Database, which is an effort to prevent repeated real world AI failures by cataloging incidents, we identified 13 application areas which often see unethical use of AI, with intelligent service robots, language/vision models and autonomous driving taking the lead. Ethical issues appear in 8 different forms, from inappropriate use and racial discrimination, to physical safety and unfair algorithm. With this taxonomy of AI ethics issues, we aim to provide AI practitioners with a practical guideline when trying to deploy AI applications ethically.
DOI：
10.18653/v1/p19-1159
发表时间：
2019-06
期刊：
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影响因子：
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作者：
Tony Sun;Andrew Gaut;Shirlyn Tang;Yuxin Huang;Mai Elsherief;Jieyu Zhao;Diba Mirza;E. Belding-Royer;Kai-Wei Chang;William Yang Wang
通讯作者：
Tony Sun;Andrew Gaut;Shirlyn Tang;Yuxin Huang;Mai Elsherief;Jieyu Zhao;Diba Mirza;E. Belding-Royer;Kai-Wei Chang;William Yang Wang